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Dataset Title:  Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3,
2008-present, Monthly
Institution:  NOAA NESDIS CoastWatch East Coast Node   (Dataset ID: noaacwecnAVHRRmultisatsstEastCoastMonthly)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      195    30 days 10h 22m 58s (uneven)
  < slider >
 level (Altitude, m) ?      1    (just one value)
  < slider >
 latitude (degrees_north) ?      2983    -0.009353374 (even)
  < slider >
 longitude (degrees_east) ?      3601    0.009353374 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables) 
 sst (sea_surface_temperature, degree_C) ?

File type: (more information)

(Documentation / Bypass this form) ?
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.200477686e+9, 1.710576991e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  level {
    Float64 actual_range 0.0, 0.0;
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 18.922361260356197, 46.814122974839734;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -88.84448906020602, -55.17234212119168;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  sst {
    UInt32 _ChunkSizes 1, 1, 512, 512;
    Float32 _FillValue NaN;
    String cell_methods "area: mean";
    Float64 colorBarMaximum 35.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "Rainbow";
    String colorBarScale "Linear";
    String grid_mapping "coord_ref";
    String ioos_category "Temperature";
    Float32 missing_value NaN;
    String standard_name "sea_surface_temperature";
    String units "degree_C";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "ronald.vogel at";
    String creator_name "NOAA CoastWatch East Coast Node";
    String creator_type "institution";
    String creator_url "";
    Float64 Easternmost_Easting -55.17234212119168;
    Float64 geospatial_lat_max 46.814122974839734;
    Float64 geospatial_lat_min 18.922361260356197;
    Float64 geospatial_lat_resolution 0.009353374149726203;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -55.17234212119168;
    Float64 geospatial_lon_min -88.84448906020602;
    Float64 geospatial_lon_resolution 0.009353374149726203;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-04-15T13:27:09Z (local files)
    String infoUrl "";
    String institution "NOAA NESDIS CoastWatch East Coast Node";
    String instrument "Advanced Very High Resolution Radiometer (AVHRR)";
    String keywords "Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Spectral/Engineering > Infrared Wavelengths > Thermal Infrared, imager, imager/radiometer, infrared, L3, level 3, level-3, mapped, polar-orbiting, radiometer, remote sensing, seawater, sst";
    String keywords_vocabulary "NASA Global Change Master Directory (GCMD) Science Keywords";
    String license "The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data contributor, CoastWatch, NOAA, nor the US Government, nor any of their employees or contractors, make any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 46.814122974839734;
    String satellite "NOAA polar orbiters: various; MetOp polar orbiters: various";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 18.922361260356197;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Monthly average sea surface temperature (SST) from the AVHRR instrument aboard the NOAA and MetOp satellites, 2008-present, is generated by NOAA/NESDIS from High Resolution Picture Transmission (HRPT) overpasses (1.1 km at nadir) using Seaspace's TeraScan software and NOAA's multi-channel regression algorithm. The individual daytime and nighttime overpasses over the U.S. east coast are composited into daily mean grids (~1.25 km), then the daily composite grids are averaged into gridded monthly temperature averages. More info:";
    String time_coverage_end "2024-03-16T08:16:31Z";
    String time_coverage_start "2008-01-16T10:01:26Z";
    String title "Sea Surface Temperature, Multi-Satellite AVHRR, U.S. East Coast 1km, Level 3, 2008-present, Monthly";
    Float64 Westernmost_Easting -88.84448906020602;


Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

griddap request URLs must be in the form{?query}
For example,[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.


ERDDAP, Version 2.23

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